Update README.md

fgmn · May 5, 2024 · 155f07f · 155f07f
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@@ -37,7 +37,7 @@ ElegantRL ([website](https://elegantrl.readthedocs.io/en/latest/index.html)) is
 
 - **Stable**: much much much more stable than [Stable Baselines 3](https://github.com/DLR-RM/stable-baselines3) by utilizing various methods such as the Hamiltonian term.
 
-- **Practical**: used in multipe projects ([RLSolver](https://github.com/AI4Finance-Foundation/RLSolver), [FinRL](https://github.com/AI4Finance-Foundation/FinRL), [FinRL-Meta](https://github.com/AI4Finance-Foundation/FinRL-Meta), [TransportRL](https://github.com/AI4Finance-Foundation/TransportRL) etc.)
+- **Practical**: used in multipe projects ([RLSolver](https://github.com/AI4Finance-Foundation/RLSolver), [RLCO](https://github.com/zhumingpassional/RLCO), [FinRL](https://github.com/AI4Finance-Foundation/FinRL), [FinRL-Meta](https://github.com/AI4Finance-Foundation/FinRL-Meta), [TransportRL](https://github.com/AI4Finance-Foundation/TransportRL) etc.)
 
 - **Massively parallel simulations** are used in multipe projects ([RLSolver](https://github.com/AI4Finance-Foundation/RLSolver), [RLCO](https://github.com/zhumingpassional/RLCO) [TransportRL](https://github.com/AI4Finance-Foundation/TransportRL) etc.); therefore, sampling efficiency is high since we can build many many GPU-based environments.